Praful Sakhargade is a Cloud & Data Engineer with 4+ years of experience in designing and implementing efficient data pipelines and scalable data solutions. He has a strong proficiency in AWS and Azure technologies, along with expertise in Python and PHP.
Increased data processing efficiency by 30% through scalable ETL pipelines using AWS Glue.
Developed interactive dashboards and reports using Power BI to provide actionable insights.
Implemented security measures using AWS IAM for database access control.
Optimized data storage solutions on Amazon S3 and Redshift, improving query performance.
Improved query performance and data retrieval times by optimizing data storage solutions on Amazon S3 and Redshift.
Overview: A system designed to manage food services for the travel industry. Responsibilities: Utilized AWS SQL services (Amazon RDS or Amazon Aurora) for data storage and management. Implemented SQL queries and stored procedures to generate reports on service usage, customer satisfaction, and operational efficiency. Created visual reports and dashboards using Amazon QuickSight for better data insights. Implemented security measures with AWS IAM to control database access and ensure best practices.
Key outcomes:
Generated reports on service usage, customer satisfaction, and operational efficiency.
Created visual reports and dashboards for better data insights.
Overview: Project focused on data analysis and consultation, handling large datasets for business intelligence. Responsibilities: Designed, built, and managed data pipelines on AWS (S3, Glue, Lambda) to ensure smooth dataflow and processing. Developed ETL processes to load data into Snowflake data warehouse, improving data accessibility and usability. Developed data transformation workflows and scripts using Azure Databricks and Spark to process and analyze large datasets. Created interactive dashboards and reports in Power BI, enabling users to visualize and analyze key metrics.
Key outcomes:
Ensured smooth dataflow and processing through well-managed data pipelines.
Improved data accessibility and usability by developing efficient ETL processes.
NielsenIQ Data Analytics Project — data analysis + consultation + large datasets + AWS (S3 + Glue + Lambda) pipelines + ETL processes.
Key outcomes:
Ensured smooth dataflow and processing through well-managed data pipelines.
Improved data accessibility and usability by developing efficient ETL processes.
Enabled informed decision-making by creating interactive dashboards and reports.
Translated business requirements into actionable business intelligence solutions.
Web Developer role — CodeIgniter PHP customer management + new front-end features + improved usability + speed.
Key outcomes:
Enhanced user experience by adding new front-end features.
Ensured seamless data exchange by implementing RESTful APIs.
Improved query performance through database optimization.
Delivered high-quality solutions by collaborating effectively with the team.
Web Developer 2 — scalable web applications using CodeIgniter PHP + RESTful APIs for data exchange + database management.
Key outcomes:
Developed scalable web applications using PHP and CodeIgniter.
Ensured seamless data exchange through RESTful API implementations.
Optimized database performance through schema design and maintenance.
Praful Sakhargade
Data Engineer